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    • Data Manipulation

    Data Manipulation Courses Online

    Master data manipulation techniques for transforming data. Learn to clean, merge, and reshape datasets using tools like SQL and Python.

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    Explore the Data Manipulation Course Catalog

    • J

      Johns Hopkins University

      Data Science in Real Life

      Skills you'll gain: Data Quality, Data Management, Technical Communication, Data Analysis, Data-Driven Decision-Making, Statistical Analysis, Data Science, Statistical Machine Learning, Statistical Inference, A/B Testing, Statistical Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      2.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Amsterdam

      Inferential Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sampling (Statistics), Probability & Statistics, Regression Analysis, Statistical Inference, Statistical Analysis, Quantitative Research, Probability Distribution, R Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      597 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      Technical University of Denmark (DTU)

      Whole genome sequencing of bacterial genomes - tools and applications

      Skills you'll gain: Bioinformatics, Molecular Biology, Microbiology, Infectious Diseases, Epidemiology, Data Analysis Software, Database Development, Analysis, Data Pipelines, Data Processing, Public Health, Data Quality

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      IBM AI Enterprise Workflow

      Skills you'll gain: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Dashboard, Unit Testing, Docker (Software), Artificial Neural Networks, Data Science, Artificial Intelligence

      4.3
      Rating, 4.3 out of 5 stars
      ·
      319 reviews

      Advanced · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Analyzing and Visualizing Data in Looker

      Skills you'll gain: Looker (Software), Dashboard, Data Visualization Software, Data Analysis, Data Sharing, Data Presentation, Data Manipulation, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      354 reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Penetration Testing, Threat Hunting, and Cryptography

      Skills you'll gain: Cyber Threat Hunting, Cyber Threat Intelligence, Threat Modeling, Penetration Testing, Threat Detection, Threat Management, MITRE ATT&CK Framework, Cryptography, Security Testing, Application Security, Encryption, Code Review, Vulnerability Scanning, Open Web Application Security Project (OWASP), Cyber Operations, Vulnerability Assessments, Security Information and Event Management (SIEM), Test Planning, Network Analysis, Data Integrity

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.5K reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Introduction to Responsible AI

      Skills you'll gain: Data Ethics, Artificial Intelligence, Accountability, Business Ethics, Governance, Organizational Effectiveness, Ethical Standards And Conduct

      4.7
      Rating, 4.7 out of 5 stars
      ·
      618 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Web Application Technologies and Django

      Skills you'll gain: Django (Web Framework), HTML and CSS, Model View Controller, Application Deployment, Application Frameworks, Web Applications, Web Servers, SQL, Databases, Network Protocols, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Data Science for Professionals

      Skills you'll gain: Predictive Modeling, Statistical Analysis, Data Manipulation, Data Analysis, Data Science, Pandas (Python Package), Data Visualization Software, Statistics, Data Cleansing, Data Processing, Data-Driven Decision-Making, Business Analytics, Exploratory Data Analysis, Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Financial Analysis - Skills for Success

      Skills you'll gain: Financial Statements, Financial Statement Analysis, Financial Forecasting, Financial Accounting, Variance Analysis, Financial Analysis, Income Statement, Balance Sheet, Performance Measurement, Management Accounting, Return On Investment, Revenue Forecasting, Cash Flow Forecasting, Financial Management, Cost Management, Financial Data, Budgeting, Finance, Accounting, Business Valuation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      416 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New
      V

      Vanderbilt University

      Agentic AI and AI Agents: A Primer for Leaders

      Skills you'll gain: Generative AI Agents, Workflow Management, Agentic systems, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Business Process Automation, Generative AI, Automation, Business Transformation, Technology Strategies, Business Strategy, Strategic Decision-Making, Emerging Technologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      232 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Finding Hidden Messages in DNA (Bioinformatics I)

      Skills you'll gain: Bioinformatics, Molecular Biology, Data Analysis, Computational Thinking, Biochemistry, Biology, Life Sciences, Algorithms, Probability & Statistics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1K reviews

      Intermediate · Course · 1 - 3 Months

    Data Manipulation learners also search

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    1…697071…597

    In summary, here are 10 of our most popular data manipulation courses

    • Data Science in Real Life: Johns Hopkins University
    • Inferential Statistics: University of Amsterdam
    • Whole genome sequencing of bacterial genomes - tools and applications: Technical University of Denmark (DTU)
    • IBM AI Enterprise Workflow: IBM
    • Analyzing and Visualizing Data in Looker: Google Cloud
    • Penetration Testing, Threat Hunting, and Cryptography: IBM
    • Introduction to Responsible AI: Google Cloud
    • Web Application Technologies and Django: University of Michigan
    • Data Science for Professionals: Coursera Instructor Network
    • Financial Analysis - Skills for Success: University of Illinois Urbana-Champaign

    Frequently Asked Questions about Data Manipulation

    Data manipulation is the part of data science that organizes or changes data into formatting that's easier to read and use for analytical purposes. It may involve advanced techniques and tools, such as relational algebra or SQL to manage the data. It may also require less advanced skills, such as alphabetization or spreadsheets to compile the data for the end user. This type of data analysis makes it possible for a data scientist to pull pertinent information for decision-making purposes out of a large, otherwise disorganized mass of data.‎

    If you have a passion for using computers and solving complex problems and puzzles, learning data manipulation may lead to a variety of opportunities as a data scientist. These opportunities include becoming a data analyst, a data engineer, or a machine learning engineer. Tasks you might encounter during a typical workday in these fields include cluster analysis and creating a pivot table or a lookup table. If you want a very hands-on career that puts you in control of finding the most essential items in a company's data, learning data manipulation will help you get started in the field.‎

    Taking online data manipulation courses on Coursera can help you advance in your data science career by improving the skills and tools you have at your disposal, making the information you're able to provide for your employer more accurate and valuable. If you aren't already working in the data science field, taking online courses in data manipulation can serve as a place to begin your industry-specific data analysis education. Courses are available to match your current knowledge base, so whether you're a beginner learning about data manipulation and data science for the first time, or you're approaching courses from an intermediate or advanced level, you can jump in and start learning at your convenience.‎

    You need to have strong math skills and at least some computer skills to begin learning data manipulation. Solid reading and critical thinking skills will also help you when you delve into these courses. The data manipulation courses are set up for beginners in the data science field, providing knowledge that's needed to build on as you advance in the data analysis field. Some specific skills you can expect to develop while learning about data manipulation at your own include data visualization, SQL, and Python.‎

    Online Data Manipulation courses offer a convenient and flexible way to enhance your knowledge or learn new Data Manipulation skills. Choose from a wide range of Data Manipulation courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Data Manipulation, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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